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BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors

Overview of attention for article published in Genetics in Medicine, January 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 2,198)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
33 news outlets
blogs
6 blogs
twitter
129 tweeters
facebook
5 Facebook pages

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
193 Mendeley
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Title
BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors
Published in
Genetics in Medicine, January 2019
DOI 10.1038/s41436-018-0406-9
Pubmed ID
Authors

Andrew Lee, Nasim Mavaddat, Amber N. Wilcox, Alex P. Cunningham, Tim Carver, Simon Hartley, Chantal Babb de Villiers, Angel Izquierdo, Jacques Simard, Marjanka K. Schmidt, Fiona M. Walter, Nilanjan Chatterjee, Montserrat Garcia-Closas, Marc Tischkowitz, Paul Pharoah, Douglas F. Easton, Antonis C. Antoniou

Twitter Demographics

The data shown below were collected from the profiles of 129 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 193 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 22%
Student > Ph. D. Student 32 17%
Student > Master 28 15%
Other 12 6%
Professor > Associate Professor 7 4%
Other 28 15%
Unknown 44 23%
Readers by discipline Count As %
Medicine and Dentistry 45 23%
Biochemistry, Genetics and Molecular Biology 38 20%
Agricultural and Biological Sciences 16 8%
Computer Science 10 5%
Nursing and Health Professions 8 4%
Other 20 10%
Unknown 56 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 378. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 January 2020.
All research outputs
#39,428
of 16,046,365 outputs
Outputs from Genetics in Medicine
#8
of 2,198 outputs
Outputs of similar age
#1,608
of 441,719 outputs
Outputs of similar age from Genetics in Medicine
#3
of 120 outputs
Altmetric has tracked 16,046,365 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 441,719 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.